DEVELOPMENT... OpenML
Run
168035

Run 168035

Task 6566 (Supervised Classification) Internet-Advertisements Uploaded 19-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I40
weka.MultiBoostAB_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.9572
Per class
F measure
0.9688
Per class
Kappa
0.8673
KB relative information score
2755.2942
Mean absolute error
0.0307
Mean prior absolute error
0.2409
Number of instances
3279
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.969
Per class
Predictive accuracy
0.9695
Prior entropy
0.5848
Recall
0.9695
Per class
Relative absolute error
0.1272
Root mean prior squared error
0.347
Root mean squared error
0.1687
Root relative squared error
0.4861
SciMark benchmark
940.2922
UserCPU time millis
441590
UserCPU time millis testing
141940
UserCPU time millis training
299650